Internship - Cyber Innovation Intern - Applied AI & Cybersecurity
CMA CGM is hiring an Internship - Cyber Innovation Intern - Applied AI & Cybersecurity in Marseille, France. Level rates it ; you can apply on CMA CGM.
Level's read on this job
- Works on AI ●●●○ is how Level rates this cybersecurity role: the daily work is on AI products, without building the model.
- The posting mentions OpenAI, Anthropic and Gemini among its tools and skills.
- Level classes it as an internship.
- CMA CGM has 1,000+ other open roles on Level.
AI in this role
Led by Rodolphe Saadé, the CMA CGM Group, a global leader in shipping and logistics, serves more than 420 ports around the world on five continents. With its subsidiary CEVA Logistics, a world leader in logistics, and its air freight division CMA CGM AIR CARGO, the CMA CGM Group is continually innovating to offer its customers a complete and increasingly efficient range of new shipping, land, air and logistics solutions.
Committed to the energy transition in shipping, and a pioneer in the use of alternative fuels, the CMA CGM Group has set a target to become Net Zero Carbon by 2050.
Through the CMA CGM Foundation, the Group acts in humanitarian crises that require an emergency response by mobilizing the Group’s shipping and logistics expertise to bring humanitarian supplies around the world.
Present in 160 countries through its network of more than 400 offices and 750 warehouses, the Group employs more than 155,000 people worldwide, including 4,000 in Marseilles where its head office is located.
YOUR ROLE
As part of your studies, you are currently looking for an internship (Master's degree or final year of a Bachelor's degree in Computer Science, Data Science, AI or Engineering).
You will join the CISO Office, a cross-functional team that acts as the governance entity of the Group's Cyber Security Department. Cyber threats evolve fast, and staying ahead means more than defending against known threats: it means actively exploring what's next. The CISO Office leads this effort for the Group. It scouts emerging technologies, partners with startups and major tech players, and builds AI-powered tools that strengthen how the organization is protected.
You will help design, build and scale AI-powered tools and workflows for Cyber Enablement, from prototyping new use cases to strengthening AI. Your work will combine hands-on development, use-case evaluation, responsible AI practices and innovation scouting. You will own at least one AI use case from prototype to working demonstration. You will also learn the realities of deploying AI in a large company (data governance, model evaluation, responsible AI) and work within the ZeBox startup ecosystem and CMA CGM's broader innovation network.
WHAT WILL YOU DO?
- AI/ML prototyping & development: You will build and iterate on AI-powered prototypes: LLM-based extraction, classification and summarization pipelines, agentic workflows and RAG-based tools. You will work hands-on with the team's stack (GCP environment including Vertex AI, Gemini, Cloud Run, Python, etc.) and support the testing, iteration and documentation of POC outcomes.
- Innovation sourcing & scouting: You will track emerging AI and cybersecurity capabilities from Big Tech partners and the ZeBox startup ecosystem, with a focus on topics such as digital fraud prevention and AI securing AI. You will help assess innovative vendors and tools (capabilities, feasibility, fit with Cyber's needs) and track the value delivered by scaled initiatives.
- Partnership support: You will help coordinate the partnerships with ZeBox and the École 42 Junior Enterprise, and prepare materials for mentoring days, sprints and joint working sessions.
- Digital fraud research & recommendations: You will support research for recommendation reports on digital fraud prevention. These reports cover platform-specific security features (WhatsApp, iOS, Android, etc.) and how they can be used or hardened against impersonation, phishing and social engineering. You will turn findings into clear, actionable recommendations for Cyber leadership and business stakeholders, and add to the Digital Fraud Initiative's knowledge base: cross-platform comparisons, emerging attack patterns, mitigation options and new features linked to fraud vectors.
WHO ARE WE LOOKING FOR?
- Education: Currently pursuing a Master's degree, or in the final year of a Bachelor's degree, in Computer Science, Data Science, Artificial Intelligence, Machine Learning or a related engineering field.
- Technical skills:
- Python skills and confidence working with APIs and software libraries
- Hands-on experience with LLMs or generative AI through APIs; experience with OpenAI, Anthropic or Google technologies is relevant
- Familiarity with RAG concepts, prompt engineering or agent frameworks is a strong advantage
- Exposure to a cloud platform, preferably GCP, is a plus
- Languages: Fluent English and French.
- Personal qualities: Comfortable in a changing environment; strong interpersonal skills; curious, open-minded, proactive and motivated.
JOB ENVIRONMENT
- Location: Marseille (Tour Mirabeau)
- Internship start date: Q1–Q2 2027
Come along on CMA CGM’s adventure !
How we rate this
Internship - Cyber Innovation Intern - Applied AI & Cybersecurity at CMA CGM rates 66 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical cybersecurity job
- $159k
This posting doesn't list pay. Use the typical cybersecurity figure when pay comes up. See cybersecurity jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you decide that one model's output is better than another's for a given task?
- How do you think about the risk of an AI system in this kind of role failing silently?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, AI agents, AI Evaluation, and AI Safety. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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